We are looking for a Data Scientist with 1 - 2 years of experience who has hands-on experience in predictive modelling and machine learning, preferably from a B2C/product-based environment.
Key Responsibilities
Build and experiment with predictive models and ML solutions for varied business and customer problems.
Work with customer, behavioural, transactional, and product data to identify patterns and generate actionable insights.
Apply ML techniques such as XGBoost, Random Forest, Logistic Regression, and other relevant algorithms.
Work with NLP/text data and explore relevant use cases.
Handle the complete modelling lifecycle - data exploration, feature engineering, model development, evaluation, and optimisation.
Work closely with Product, Business,
and Engineering teams to translate data-driven ideas into practical solutions.
What We're Looking For
1 - 2 years of experience in Data Science / Machine Learning.
Solid proficiency in Python and SQL.
Hands-on experience with predictive modelling and XGBoost.
Practical experience with NLP and working with customer/behavioural data.
Positive understanding of statistics, ML algorithms, feature engineering, and model evaluation.
B2C / consumer internet / product company experience preferred.
Solid problem-solving mindset and curiosity to experiment with different approaches and solve open-ended problems.
(ref:hirist.tech)
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